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Xie X, Liang L, Nan Y, Zhang L, Xiao L. Efficacy of an individual-tailored smoking cessation intervention APP among Chinese smokers: study protocol for a randomized controlled trial. BMC Public Health 2024; 24:65. [PMID: 38166920 PMCID: PMC10763077 DOI: 10.1186/s12889-023-16496-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 08/09/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND AND AIMS Tobacco use has posed a tremendous public health problem for China. The Chinese government has taken great efforts to curb the tobacco epidemic. However, the existing smoking cessation services available in China are underused and have some limitations. Our research team intends to develop a smartphone smoking cessation application (SSC APP) and integrate it with the existing smoking cessation services. This study aims to assess the efficacy of the SSC APP developed by our research team through a randomized controlled trial (RCT). METHODS Current smokers who are motivated to quit within 1 month (n = 1000) will be recruited both online and offline, and all potential participants will register and complete the prescreening assessment online. Participants will be randomly assigned to either the intervention group (receiving the SSC APP and a self-help smoking cessation manual) or the control group (receiving a self-help smoking cessation manual only) using a block randomization method. This study will be a two-arm, single-blind, parallel-group RCT. Participants will be followed up after enrollment through online questionnaires or by phone call. The primary outcome is self-reported 6-month continuous abstinence. The main secondary outcomes include self-reported 7-day point-prevalence abstinence at each follow-up; self-reported 3-month continuous abstinence; reduction in the number of cigarettes smoked per day; and the number of recent quit attempts. DISCUSSION If this SSC APP proves to be effective, it could be integrated with the existing smoking cessation services and further facilitate smoking cessation at the population level in China. TRIAL REGISTRATION Chinese Clinical Trial Registry: ChiCTR2200062097, Registered July 22, 2022.
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Affiliation(s)
- Xiaoyun Xie
- Tobacco Control Office, Chinese Center for Disease Control and Prevention, 155 Changbai Road Changping District, Beijing, 102206, China
| | - Lirong Liang
- Department of Research on Tobacco Dependence Therapies, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, No.8 Gong-Ti-Nan-Lu, Chaoyang District, Beijing, 100020, China
| | - Yi Nan
- Tobacco Control Office, Chinese Center for Disease Control and Prevention, 155 Changbai Road Changping District, Beijing, 102206, China
| | - Luge Zhang
- Tobacco Control Office, Chinese Center for Disease Control and Prevention, 155 Changbai Road Changping District, Beijing, 102206, China
| | - Lin Xiao
- Tobacco Control Office, Chinese Center for Disease Control and Prevention, 155 Changbai Road Changping District, Beijing, 102206, China.
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Xie X, Nan Y, Lin B, Chen T, Zhang L, Xiao L. A COM-B analysis of facilitators of and barriers to smoking cessation among Chinese smokers: A qualitative study. Tob Induc Dis 2023; 21:152. [PMID: 38026498 PMCID: PMC10652708 DOI: 10.18332/tid/174128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 10/06/2023] [Accepted: 10/13/2023] [Indexed: 12/01/2023] Open
Abstract
INTRODUCTION Smoking prevalence remains high in China with a low cessation motivation level, despite the government's tobacco control efforts. There is a lack of research specifically examining perceptions, attitudes, and behaviors related to smoking cessation in this region, particularly from a theory-based deductive perspective. Utilizing the COM-B (Capability, Opportunity, Motivation-Behavior) model as a theoretical framework, this study aimed to identify facilitators and barriers to smoking cessation among Chinese smokers. METHODS The study employed semi-structured individual interviews with 40 participants. Each interview spanned approximately 30 minutes. The participants, constituting both current and former smokers, were all aged ≥18 years (n=40). Interview data were then examined using a directed content analysis approach. RESULTS Analysis revealed three interrelated themes. Capability: Smokers face challenges when resisting peer pressure and dealing with life after quitting. They also lack knowledge about smoking, quitting techniques, and withdrawal symptoms. Opportunity: Changing societal attitudes towards smoking create opportunities for quitting, but these are hindered by inadequate cessation services and a lack of family support. Motivation: Smokers' motivation to quit is mainly driven by health concerns. Resistance to quitting often stems from the belief that smoking is a personal choice or just a habit. Excessive emphasis on willpower may hinder motivation to quit. CONCLUSIONS To enhance smoking cessation efforts in China, three key aspects should be considered: capability, opportunity, and motivation. Publicity and educational campaigns should target common misconceptions about smoking as a personal freedom, correct the overemphasis on willpower, and widely promote available cessation services. A crucial aspect is shifting societal norms to foster anti-smoking sentiments. Effective strategies may involve using real-life stories to illustrate smoking's health consequences, disseminating information about cessation services in maternity centers, enhancing services through mobile health initiatives, and empowering families to support smokers in their quit attempts.
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Affiliation(s)
- Xiaoyun Xie
- Tobacco Control Office, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Yi Nan
- Tobacco Control Office, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Bingliang Lin
- Tobacco Control Office, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Tianqi Chen
- School of Public Health, The University of Hong Kong, Hong Kong SAR, People’s Republic of China
| | - Luge Zhang
- Tobacco Control Office, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Lin Xiao
- Tobacco Control Office, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
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Tang J, Yang J, Liu Y, Liu X, Li L, Sun Y, Jin J, Fang Y, Zhou Z, Wang Y, Liu Y, Chen W, McNeill A, Kelly BC, Cohen JE, Liao Y. Efficacy of WeChat-based online smoking cessation intervention ('WeChat WeQuit') in China: a randomised controlled trial. EClinicalMedicine 2023; 60:102009. [PMID: 37251625 PMCID: PMC10209122 DOI: 10.1016/j.eclinm.2023.102009] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 04/28/2023] [Accepted: 04/28/2023] [Indexed: 05/31/2023] Open
Abstract
Background China has approximately 300 million current smokers, and smoking cessation services are limited. This study aimed to assess the efficacy of a Cognitive Behavioral Theory-based smoking cessation intervention ('WeChat WeQuit') via the most popular social media platform in China, WeChat. Methods A parallel, single-blind, two-arm randomised controlled trial was conducted via WeChat between March 19, 2020 and November 16, 2022. Chinese-speaking adult smokers (n = 2000) willing to quit within one month were recruited and randomised in a 1:1 ratio. The intervention group (n = 1005) received the 'WeChat WeQuit' program and the control group (n = 955) received control messages for 14 weeks (2-week prequit and 12-week postquit). Participants were followed up to 26 weeks after the quit date. The primary outcome was self-reported continuous smoking abstinence rate, biochemically validated at 26 weeks. The secondary outcomes were self-reported 7-day and continuous abstinence rates at 6 months. All analyses were by intention to treat. The trial is registered at ClinicalTrials.gov (NCT03169686). Findings By intention-to-treat analysis, the biochemically verified 26-week continuous abstinence rate was 11.94% in the intervention group and 2.81% in the control group (OR = 4.68, 95% CI: 3.07-7.13, p < 0.0001). The self-reported 7-day abstinence rates ranged from 39.70% at week 1-32.04% at week 26 for the intervention group and 14.17%-11.86% in the control group for weeks 1 and 26, respectively; the self-reported continuous abstinence rates at weeks 1 and 26 ranged from 34.33% to 24.28% and 9.65% to 6.13% in the intervention group and the control group respectively (all p < 0.0001). Participants with low nicotine dependence or previous quit attempts were more likely to successfully quit smoking. Interpretation The 'WeChat WeQuit' intervention significantly increased smoking abstinence rates at 6 months and should be considered for treatment-seeking smokers in China. Funding The research is supported by the Natural Science Foundation of Hunan Province (2020JJ4794, YLiao), the K.C. Wong Postdoctoral Fellowship for YLiao to study at King's College London, and China Medical Board (CMB) Open Competition Program (grant no. 15-226, 22-485, YLiao).
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Affiliation(s)
- Jinsong Tang
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR China
| | - Jie Yang
- Department of Big Data in Health Science School of Public Health, and Center of Clinical Big Data and Analytics of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR China
| | - Yi Liu
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR China
| | - Xiaocong Liu
- Department of Big Data in Health Science School of Public Health, and Center of Clinical Big Data and Analytics of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR China
| | - Ling Li
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR China
| | - Yunkai Sun
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR China
| | - Jieyin Jin
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR China
| | - Yehong Fang
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR China
| | - Zitang Zhou
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR China
| | - Yunfei Wang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, PR China
| | - Yueheng Liu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, PR China
| | - Wei Chen
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR China
| | - Ann McNeill
- Department of Addictions, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Brian C. Kelly
- Department of Sociology & Center for Research on Young People’s Health (CRYPH), Purdue University, 700 W State Street, West Lafayette, IN 47907, USA
| | - Joanna E. Cohen
- Institute for Global Tobacco Control (IGTC), Johns Hopkins Bloomberg School of Public Health, 2213 McElderry St., Fourth Floor, Baltimore, MD 21205, USA
| | - Yanhui Liao
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR China
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Shang X, Guo K, E. F, Deng X, Wang Y, Wang Z, Wu Y, Xu M, Yang C, Li X, Yang K. Pharmacological interventions on smoking cessation: A systematic review and network meta-analysis. Front Pharmacol 2022; 13:1012433. [PMID: 36353488 PMCID: PMC9638092 DOI: 10.3389/fphar.2022.1012433] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 10/11/2022] [Indexed: 12/05/2022] Open
Abstract
Objective: A network meta-analysis based on randomized controlled trials was conducted to investigate the effects of pharmacological interventions on smoking cessation. Methods: English databases were searched to obtain randomized controlled trials reporting the effect of pharmacological interventions on smoking cessation. The risk of bias for the included trials was assessed using Cochrane Handbook tool. Stata 15.1 software was used to perform network meta-analysis, and GRADE approach was used to assess the evidence credibility on the effects of different interventions on smoking cessation. Results: A total of 159 studies involving 60,285 smokers were included in the network meta-analysis. The analysis involved 15 interventions and which yielded 105 pairs of comparisons. Network meta-analysis showed that varenicline was more helpful for smoking cessation than other monotherapies, such as nicotine replacement therapy [Odds Ratio (OR) = 1.42, 95% confidence interval (CI) (1.16, 1.73)] and bupropion [OR = 1.52, 95% CI (1.22, 1.89)]. Furthermore, combined interventions were superior to monotherapy in achieving smoking cessation, such as varenicline plus bupropion over bupropion [OR = 2.00, 95% CI (1.11, 3.61)], varenicline plus nicotine replacement therapy over nicotine replacement therapy [OR = 1.84, 95% CI (1.07, 3.18)], and nicotine replacement therapy plus mecamylamine over naltrexone [OR = 6.29, 95% CI (1.59, 24.90)]. Finally, the surface under the cumulative ranking curve value indicated that nicotine replacement therapy plus mecamylamine had the greatest probability of becoming the best intervention. Conclusion: Most pharmacological interventions demonstrated a benefit in smoking cessation compared with placebo, whether monotherapy or combination therapy. Moreover, confirmed evidence suggested that some combination treatments, such as varenicline plus bupropion and nicotine replacement therapy plus mecamylamine have a higher probability of being the best smoking cessation in
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Affiliation(s)
- Xue Shang
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
- Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
| | - Kangle Guo
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
- Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Gansu Provincial Hospital, Lanzhou, China
| | - Fenfen E.
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
- Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
| | - Xinxin Deng
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
- Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
| | - Yongsheng Wang
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
- Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
| | - Ziyi Wang
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
- Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
| | - Yanan Wu
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
- Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
| | - Meng Xu
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
- Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
| | - Chaoqun Yang
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
- Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
| | - Xiuxia Li
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
- Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
- *Correspondence: Xiuxia Li, ; Kehu Yang,
| | - Kehu Yang
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
- Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
- *Correspondence: Xiuxia Li, ; Kehu Yang,
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